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A Fitness Company wants to know the customer behavior towards the threadmill and want recommendations to increase its profits.

Jupyter Notebook 100.00%
business-solutions customer-profiling data-visualization datacleaning datamanipulation datatypeconverter duplicate-detection exploratory-data-analysis exploratory-data-visualizations insights matplotlib-pyplot missing-values numpy-library outlier-detection pandas-dataframe patterns seaborn-plots statistical-analysis

cardiogoodfitnessproject's Introduction

CardioGoodFitnessProject

A Fitness Company wants to know the customer behavior towards the three models of Treadmill and want recommendations to increase its profits. The notebook has code for the following:

  1. Checked for missing vales and duplicates.
  2. Datatype conversions to save the memory space and also to have relevant datatypes according to the data.
  3. Statistical summary and insights drawn from it.
  4. Exploratory Data Analysis - Univariate/Bvariate/Multivariate
  5. Outlier Detection and dealing with them.
  6. Finding the patterns and trends among the features(columns) and providing some Business recommendations based on the patterns.

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